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Ge L, Cao Z, Sun Z, Yue X, Rao Y, Zhao K, Qiu W, Li Y, Lu W, Qiu S. Functional connectivity density aberrance in type 2 diabetes mellitus with and without mild cognitive impairment. Front Neurol 2024; 15:1418714. [PMID: 38915801 PMCID: PMC11194391 DOI: 10.3389/fneur.2024.1418714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 05/29/2024] [Indexed: 06/26/2024] Open
Abstract
Purpose The objective of this study was to investigate alterations in functional connectivity density (FCD) mapping and their impact on functional connectivity (FC) among individuals diagnosed with Type 2 diabetes mellitus (T2DM) across different cognitive states. Moreover, the study sought to explore the potential association between aberrant FCD/FC patterns and clinical or cognitive variables. Methods A total of 211 participants were recruited for this study, consisting of 75 healthy controls (HCs), 89 T2DM patients with normal cognitive function (DMCN), and 47 T2DM patients with mild cognitive impairment (DMCI). The study employed FCD analysis to pinpoint brain regions exhibiting significant FCD alterations. Subsequently, these regions showing abnormal FCD served as seeds for FC analysis. Exploratory partial correlations were conducted to explore the relationship between clinical biochemical indicators, neuropsychological test scores, and altered FCD or FC. Results The FCD analysis revealed an increased trend in global FCD (gFCD), local FCD (lFCD), and long-range FCD (lrFCD) within the bilateral supramarginal gyrus (SMG) among individuals with DMCN. Additionally, significant lFCD alterations were observed in the right inferior frontal gyrus and left precuneus when comparing DMCN to HCs and DMCI. Conclusion When comparing individuals with T2DM and healthy controls (HCs), it was revealed that DMCN exhibited significant improvements in FCD. This suggests that the brain may employ specific compensatory mechanisms to maintain normal cognitive function at this stage. Our findings provide a novel perspective on the neural mechanisms involved in cognitive decline associated with T2DM.
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Affiliation(s)
- Limin Ge
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zidong Cao
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhizhong Sun
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaomei Yue
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yawen Rao
- Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Kui Zhao
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wenbin Qiu
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yifan Li
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Weiye Lu
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shijun Qiu
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou, China
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Cao B, Guo Y, Lu M, Wu X, Deng F, Wang J, Huang R. The long-term intensive gymnastic training influences functional stability and integration: A resting-state fMRI study. PSYCHOLOGY OF SPORT AND EXERCISE 2024; 74:102678. [PMID: 38821251 DOI: 10.1016/j.psychsport.2024.102678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 03/17/2024] [Accepted: 05/22/2024] [Indexed: 06/02/2024]
Abstract
INTRODUCTION Long-term motor skill training has been shown to induce anatomical and functional neuroplasticity. World class gymnasts (WCGs) provide a unique opportunity to investigate the effect of long-term intensive training on neuroplasticity. Previous resting-state fMRI studies have demonstrated a high efficient information processing related to motor and cognitive functions in gymnasts compared with healthy controls (HCs). However, most research treated brain signals as static, overlooking the fact that the brain is a complex and dynamic system. In this study, we employed functional stability, a new metric based on dynamic functional connectivity (FC), to examine the impact of long-term intensive training on the functional architecture in the WCGs. METHODS We first conducted a voxel-wise analysis of functional stability between the WCGs and HCs. Then, we applied FC density (FCD) to explore whether regions with modified functional stability were also accompanied by changes in connection patterns in the WCGs. We identified overlapping regions showing significant differences in both functional stability and FCD. Finally, we applied seed-based correlation analysis (SCA) to determine the detailed changes in connection patterns between the WCGs and HCs within these overlapping regions. RESULTS Compared with the HCs, the WCGs exhibited higher functional stability in the bilateral angular gyrus (AG), bilateral inferior temporal gyrus (ITG), bilateral precentral gyrus, and right superior frontal gyrus and lower functional stability in the bilateral hippocampus, bilateral caudate, right rolandic operculum, left superior temporal gyrus, right middle frontal gyrus, right middle cingular cortex, and right precuneus than the HCs. We found that the bilateral AG and ITG not only showed higher functional stability but also increased global and long-range FCD in the WCGs relative to the HCs. The right precuneus displayed lower functional stability as well as decreased local, long-range, and global FCD in the WCGs. Both AG and ITG showed higher FC with regions in the default mode network (DMN) in the WCGs than in the HCs. CONCLUSIONS The increased functional stability in the AG and ITG might be associated with enhanced functional integration within the DMN in the WCGs. These findings may offer new spatiotemporal evidence for the impact of long-term intensive training on neuroplasticity.
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Affiliation(s)
- Bolin Cao
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China
| | - Yu Guo
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China
| | - Min Lu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaoyan Wu
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China
| | - Feng Deng
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China
| | - Jun Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
| | - Ruiwang Huang
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China.
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Li T, Le W, Jankovic J. Linking the cerebellum to Parkinson disease: an update. Nat Rev Neurol 2023; 19:645-654. [PMID: 37752351 DOI: 10.1038/s41582-023-00874-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/01/2023] [Indexed: 09/28/2023]
Abstract
Parkinson disease (PD) is characterized by heterogeneous motor and non-motor symptoms, resulting from neurodegeneration involving various parts of the central nervous system. Although PD pathology predominantly involves the nigral-striatal system, growing evidence suggests that pathological changes extend beyond the basal ganglia into other parts of the brain, including the cerebellum. In addition to a primary involvement in motor control, the cerebellum is now known to also have an important role in cognitive, sleep and affective processes. Over the past decade, an accumulating body of research has provided clinical, pathological, neurophysiological, structural and functional neuroimaging findings that clearly establish a link between the cerebellum and PD. This Review presents an overview and update on the involvement of the cerebellum in the clinical features and pathogenesis of PD, which could provide a novel framework for a better understanding the heterogeneity of the disease.
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Affiliation(s)
- Tianbai Li
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Weidong Le
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China.
- Institute of Neurology, Sichuan Academy of Medical Sciences, Sichuan Provincial Hospital, Chengdu, China.
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA.
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Wu H, Zhou C, Guan X, Bai X, Guo T, Wu J, Chen J, Wen J, Wu C, Cao Z, Liu X, Gao T, Gu L, Huang P, Xu X, Zhang B, Zhang M. Functional connectomes of akinetic-rigid and tremor within drug-naïve Parkinson's disease. CNS Neurosci Ther 2023; 29:3507-3517. [PMID: 37305965 PMCID: PMC10580330 DOI: 10.1111/cns.14284] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 03/26/2023] [Accepted: 05/22/2023] [Indexed: 06/13/2023] Open
Abstract
AIMS To detect functional connectomes of akinetic-rigid (AR) and tremor and compare their connection pattern. METHODS Resting-state functional MRI data of 78 drug-naïve PD patients were enrolled to construct connectomes of AR and tremor via connectome-based predictive modeling (CPM). The connectomes were further validated with 17 drug-naïve patients to verify their replication. RESULTS The connectomes related to AR and tremor were identified via CPM method and successfully validated in the independent set. Additional regional-based CPM demonstrated neither AR nor tremor could be simplified to functional changes within a single brain region. Computational lesion version of CPM revealed that parietal lobe and limbic system were the most important regions among AR-related connectome, and motor strip and cerebellum were the most important regions among tremor-related connectome. Comparing two connectomes found that the patterns of connection between them were largely distinct, with only four overlapped connections identified. CONCLUSION AR and tremor were found to be associated with functional changes in multiple brain regions. Distinct connection patterns of AR-related and tremor-related connectomes suggest different neural mechanisms underlying the two symptoms.
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Affiliation(s)
- Haoting Wu
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Cheng Zhou
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Xueqin Bai
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Tao Guo
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Jingjing Wu
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Jingwen Chen
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Jiaqi Wen
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Chenqing Wu
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Zhengye Cao
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Xiaocao Liu
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Ting Gao
- Department of Neurology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Luyan Gu
- Department of Neurology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Minming Zhang
- Department of Radiology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
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Marapin RS, van der Horn HJ, van der Stouwe AMM, Dalenberg JR, de Jong BM, Tijssen MAJ. Altered brain connectivity in hyperkinetic movement disorders: A review of resting-state fMRI. Neuroimage Clin 2023; 37:103302. [PMID: 36669351 PMCID: PMC9868884 DOI: 10.1016/j.nicl.2022.103302] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND Hyperkinetic movement disorders (HMD) manifest as abnormal and uncontrollable movements. Despite reported involvement of several neural circuits, exact connectivity profiles remain elusive. OBJECTIVES Providing a comprehensive literature review of resting-state brain connectivity alterations using resting-state fMRI (rs-fMRI). We additionally discuss alterations from the perspective of brain networks, as well as correlations between connectivity and clinical measures. METHODS A systematic review was performed according to PRISMA guidelines and searching PubMed until October 2022. Rs-fMRI studies addressing ataxia, chorea, dystonia, myoclonus, tics, tremor, and functional movement disorders (FMD) were included. The standardized mean difference was used to summarize findings per region in the Automated Anatomical Labeling atlas for each phenotype. Furthermore, the activation likelihood estimation meta-analytic method was used to analyze convergence of significant between-group differences per phenotype. Finally, we conducted hierarchical cluster analysis to provide additional insights into commonalities and differences across HMD phenotypes. RESULTS Most articles concerned tremor (51), followed by dystonia (46), tics (19), chorea (12), myoclonus (11), FMD (11), and ataxia (8). Altered resting-state connectivity was found in several brain regions: in ataxia mainly cerebellar areas; for chorea, the caudate nucleus; for dystonia, sensorimotor and basal ganglia regions; for myoclonus, the thalamus and cingulate cortex; in tics, the basal ganglia, cerebellum, insula, and frontal cortex; for tremor, the cerebello-thalamo-cortical circuit; finally, in FMD, frontal, parietal, and cerebellar regions. Both decreased and increased connectivity were found for all HMD. Significant spatial convergence was found for dystonia, FMD, myoclonus, and tremor. Correlations between clinical measures and resting-state connectivity were frequently described. CONCLUSION Key brain regions contributing to functional connectivity changes across HMD often overlap. Possible increases and decreases of functional connections of a specific region emphasize that HMD should be viewed as a network disorder. Despite the complex interplay of physiological and methodological factors, this review serves to gain insight in brain connectivity profiles across HMD phenotypes.
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Affiliation(s)
- Ramesh S Marapin
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - Harm J van der Horn
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands
| | - A M Madelein van der Stouwe
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - Jelle R Dalenberg
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | - Bauke M de Jong
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands
| | - Marina A J Tijssen
- University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, the Netherlands.
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MacKinnon MJ, Wang TWW, Shih YYI. Mouse Brain MRI: Including In Vivo, Ex Vivo, and fcMRI for the Study of Microcephaly. Methods Mol Biol 2023; 2583:129-148. [PMID: 36418731 DOI: 10.1007/978-1-0716-2752-5_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
With its sensitivity to soft tissue, MRI is a powerful tool for the study of the neuroanatomical manifestations of a variety of conditions, such as microcephaly-related morbidities that are not easily visualized by other imaging techniques, such as CT. In addition to structural imaging, more recently, researchers have found changes in brain function in a wide range of neurological conditions-highlighting the utility of MRI for the study of microcephaly.In this methods chapter, basic mouse preparation and the acquisition of data for in vivo anatomical MRI will be discussed. Additionally, we will provide our protocol for the perfusion and fixation of brain tissue with gadolinium contrast agent. Following that, the process of optimization of system parameters will be shown for anatomical imaging of in vivo and ex vivo brain tissue. Lastly, the chapter will detail a protocol for fcMRI along with a discussion of considerations specific to functional imaging.
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Affiliation(s)
- Martin J MacKinnon
- Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tzu-Wen W Wang
- Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yen-Yu I Shih
- Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Wolters AF, Michielse S, Kuijf ML, Defebvre L, Lopes R, Dujardin K, Leentjens AFG. Brain network characteristics and cognitive performance in motor subtypes of Parkinson's disease: A resting state fMRI study. Parkinsonism Relat Disord 2022; 105:32-38. [PMID: 36332290 DOI: 10.1016/j.parkreldis.2022.10.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 10/15/2022] [Accepted: 10/23/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION Parkinson's disease (PD) is a heterogeneous disorder with great variability in motor and non-motor manifestations. It is hypothesized that different motor subtypes are characterized by different neuropsychiatric and cognitive symptoms, but the underlying correlates in cerebral connectivity remain unknown. Our aim is to compare brain network connectivity between the postural instability and gait disorder (PIGD) and tremor-dominant (TD) subtypes, using both a within- and between-network analysis. METHODS This cross-sectional resting-state fMRI study includes 81 PD patients, 54 belonging to the PIGD and 27 to the TD subgroup. Group-level spatial maps were created using independent component analysis. Differences in functional connectivity were investigated using dual regression analysis and inter-network connectivity analysis. An additional voxel-based morphometry analysis was performed to examine if results were influenced by grey matter atrophy. RESULTS The PIGD subgroup scored worse than the TD subgroup on all cognitive domains. Resting-state fMRI network analyses suggested that the connection between the visual and sensorimotor network is a potential differentiator between PIGD and TD subgroups. However, after correcting for dopaminergic medication use these results were not significant anymore. There was no between-group difference in grey matter volume. CONCLUSION Despite clear motor and cognitive differences between the PIGD and TD subtypes, no significant differences were found in network connectivity. Methodological challenges, substantial symptom heterogeneity and many involved variables make analyses and hypothesis building around PD subtypes highly complex. More sensitive visualisation methods combined with machine learning approaches may be required in the search for characteristic underpinnings of PD subtypes.
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Affiliation(s)
- Amée F Wolters
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands.
| | - Stijn Michielse
- Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Mark L Kuijf
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Luc Defebvre
- Univ. Lille, Inserm, Lille Neuroscience & Cognition, F-59000, Lille, France; CHU Lille, Neurology and Movement Disorders, F-59000, Lille, France
| | - Renaud Lopes
- Univ. Lille, Inserm, Lille Neuroscience & Cognition, F-59000, Lille, France; Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, F-59000, Lille, France
| | - Kathy Dujardin
- Univ. Lille, Inserm, Lille Neuroscience & Cognition, F-59000, Lille, France; CHU Lille, Neurology and Movement Disorders, F-59000, Lille, France
| | - Albert F G Leentjens
- Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University Medical Center, Maastricht, the Netherlands
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Song Y, Wu H, Chen S, Ge H, Yan Z, Xue C, Qi W, Yuan Q, Liang X, Lin X, Chen J. Differential Abnormality in Functional Connectivity Density in Preclinical and Early-Stage Alzheimer's Disease. Front Aging Neurosci 2022; 14:879836. [PMID: 35693335 PMCID: PMC9177137 DOI: 10.3389/fnagi.2022.879836] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 04/27/2022] [Indexed: 12/23/2022] Open
Abstract
Background Both subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI) have a high risk of progression to Alzheimer's disease (AD). While most of the available evidence described changes in functional connectivity (FC) in SCD and aMCI, there was no confirmation of changes in functional connectivity density (FCD) that have not been confirmed. Therefore, the purpose of this study was to investigate the specific alterations in resting-state FCD in SCD and aMCI and further assess the extent to which these changes can distinguish the preclinical and early-stage AD. Methods A total of 57 patients with SCD, 59 patients with aMCI, and 78 healthy controls (HC) were included. The global FCD, local FCD, and long-range FCD were calculated for each voxel to identify brain regions with significant FCD alterations. The brain regions with abnormal FCD were then used as regions of interest for FC analysis. In addition, we calculated correlations between neuroimaging alterations and cognitive function and performed receiver-operating characteristic analyses to assess the diagnostic effect of the FCD and FC alterations on SCD and aMCI. Results FCD mapping revealed significantly increased global FCD in the left parahippocampal gyrus (PHG.L) and increased long-range FCD in the left hippocampus for patients with SCD when compared to HCs. However, when compared to SCD, patients with aMCI showed significantly decreased global FCD and long-range FCD in the PHG.L. The follow-up FC analysis further revealed significant variations between the PHG.L and the occipital lobe in patients with SCD and aMCI. In addition, patients with SCD also presented significant changes in FC between the left hippocampus, the left cerebellum anterior lobe, and the inferior temporal gyrus. Moreover, changes in abnormal indicators in the SCD and aMCI groups were significantly associated with cognitive function. Finally, combining FCD and FC abnormalities allowed for a more precise differentiation of the clinical stages. Conclusion To our knowledge, this study is the first to investigate specific alterations in FCD and FC for both patients with SCD and aMCI and confirms differential abnormalities that can serve as potential imaging markers for preclinical and early-stage Alzheimer's disease (AD). Also, it adds a new dimension of understanding to the diagnosis of SCD and aMCI as well as the evaluation of disease progression.
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Affiliation(s)
- Yu Song
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Huimin Wu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Shanshan Chen
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Honglin Ge
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Zheng Yan
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Chen Xue
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wenzhang Qi
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Qianqian Yuan
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xuhong Liang
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xingjian Lin
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Xingjian Lin
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
- Jiu Chen
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Tang S, Wang Y, Liu Y, Chau SW, Chan JW, Chu WC, Abrigo JM, Mok VC, Wing YK. Large-scale network dysfunction in α-Synucleinopathy: A meta-analysis of resting-state functional connectivity. EBioMedicine 2022; 77:103915. [PMID: 35259574 PMCID: PMC8904227 DOI: 10.1016/j.ebiom.2022.103915] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/18/2022] [Accepted: 02/18/2022] [Indexed: 01/22/2023] Open
Abstract
Background Although dysfunction of large-scale brain networks has been frequently demonstrated in patients with α-Synucleinopathy (α-Syn, i.e., Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy), a consistent pattern of dysfunction remains unclear. We aim to investigate network dysfunction in patients with α-Syn through a meta-analysis. Methods Whole-brain seed-based resting-state functional connectivity studies (published before September 1st, 2020 in English) comparing α-Syn patients with healthy controls (HC) were retrieved from electronic databases (PubMed, Web of Science, and EMBASE). Seeds from each study were categorized into networks by their location within a priori functional networks. Seed-based effect size mapping with Permutation of Subject Images analysis of between-group effects identified the network systems in which α-Syn was associated with hyperconnectivity (increased connectivity in α-Syn vs. HC) or hypoconnectivity (decreased connectivity in α-Syn vs. HC) within and between each seed-network. This study was registered on PROSPERO (CRD42020210133). Findings In total, 136 seed-based voxel-wise resting-state functional connectivity datasets from 72 publications (3093 α-Syn patients and 3331 HC) were included in the meta-analysis. We found that α-Syn patients demonstrated imbalanced connectivity among subcortical network, cerebellum, and frontal parietal networks that involved in motor functioning and executive control. The patient group was associated with hypoconnectivity in default mode network and ventral attention network that involved in cognition and attention. Additionally, the patient group exhibited hyperconnectivity between neural systems involved in top-down emotion regulation and hypoconnectivity between networks involved in bottom-up emotion processing. Interpretation These findings supported neurocognitive models in which network dysfunction is tightly linked to motor, cognitive and psychiatric symptoms observed in α-Syn patients.
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Affiliation(s)
- Shi Tang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yanlin Wang
- Advanced Computing and Digital Engineering Research, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven Wh Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joey Wy Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Winnie Cw Chu
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jill M Abrigo
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ct Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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10
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Song K, Wang Y, Ren MX, Li J, Su T, Chen SY, Shao Y, Lv YL. Resting-State Functional Magnetic Resonance Imaging and Functional Connectivity Density Mapping in Patients With Optic Neuritis. Front Neurosci 2021; 15:718973. [PMID: 34720858 PMCID: PMC8551919 DOI: 10.3389/fnins.2021.718973] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 09/22/2021] [Indexed: 01/17/2023] Open
Abstract
Background: Using resting-state functional connectivity (rsFC), we investigated alternations in spontaneous brain activities reflected by functional connectivity density (FCD) in patients with optic neuritis (ON). Methods: We enrolled 28 patients with ON (18 males, 10 females) and 24 healthy controls (HCs; 16 males, 8 females). All subjects underwent functional magnetic resonance imaging (fMRI) in a quiet state to determine the values of rsFC, long-range FCD (longFCD), and short-range FCD (IFCD). Receiver operating characteristic (ROC) curves were generated to distinguish patients from HCs. Results: The ON group exhibited obviously lower longFCD values in the left inferior frontal gyrus triangle, the right precuneus and the right anterior cingulate, and paracingulate gyri/median cingulate and paracingulate gyri. The left median cingulate and paracingulate gyri and supplementary motor area (SMA) were also significantly lower. Obviously reduced IFCD values were observed in the left middle temporal gyrus/angular gyrus/SMA and right cuneus/SMA compared with HCs. Conclusion: Abnormal neural activities were found in specific brain regions in patients with ON. Specifically, they showed significant changes in rsFC, longFCD, and IFCD values. These may be useful to identify the specific mechanism of change in brain function in ON.
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Affiliation(s)
- Ke Song
- Department of Equipment, Xi'an People's Hospital, Xi'an Fourth Hospital, Xi'an, China
| | - Yong Wang
- Department of Ophthalmology, Xi'an People's Hospital, Xi'an Fourth Hospital, Xi'an, China
| | - Mei-Xia Ren
- Department of Ophthalmology, Xi'an People's Hospital, Xi'an Fourth Hospital, Xi'an, China
| | - Jiao Li
- Department of Ophthalmology, Xi'an People's Hospital, Xi'an Fourth Hospital, Xi'an, China
| | - Ting Su
- Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, Medical College of Xiamen University, Xiamen, China.,Department of Ophthalmology, Massachusetts Eye and Ear and Harvard Medical School, Boston, MA, United States
| | - Si-Yi Chen
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ya-Li Lv
- Department of Neurology, Xi'an People's Hospital, Xi'an Fourth Hospital, Xi'an, China
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11
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Paparella G, Fasano A, Hallett M, Berardelli A, Bologna M. Emerging concepts on bradykinesia in non-parkinsonian conditions. Eur J Neurol 2021; 28:2403-2422. [PMID: 33793037 DOI: 10.1111/ene.14851] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/24/2021] [Accepted: 03/29/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE Bradykinesia is one of the cardinal motor symptoms of Parkinson's disease. However, clinical and experimental studies indicate that bradykinesia may also be observed in various neurological diseases not primarily characterized by parkinsonism. These conditions include hyperkinetic movement disorders, such as dystonia, chorea, and essential tremor. Bradykinesia may also be observed in patients with neurological conditions that are not seen as "movement disorders," including those characterized by the involvement of the cerebellum and corticospinal system, dementia, multiple sclerosis, and psychiatric disorders. METHODS We reviewed clinical reports and experimental studies on bradykinesia in non-parkinsonian conditions and discussed the major findings. RESULTS Bradykinesia is a common motor abnormality in non-parkinsonian conditions. From a pathophysiological standpoint, bradykinesia in neurological conditions not primarily characterized by parkinsonism may be explained by brain network dysfunction. CONCLUSION In addition to the pathophysiological implications, the present paper highlights important terminological issues and the need for a new, more accurate, and more widely used definition of bradykinesia in the context of movement disorders and other neurological conditions.
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Affiliation(s)
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.,Division of Neurology, University of Toronto, Toronto, Ontario, Canada.,Krembil Brain Institute, Toronto, Ontario, Canada
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Alfredo Berardelli
- IRCCS Neuromed, Pozzilli, Italy.,Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Matteo Bologna
- IRCCS Neuromed, Pozzilli, Italy.,Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
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12
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Chen SY, Cai GQ, Liang RB, Yang QC, Min YL, Ge QM, Li B, Shi WQ, Li QY, Zeng XJ, Shao Y. Regional brain changes in patients with diabetic optic neuropathy: a resting-state functional magnetic resonance imaging study. Quant Imaging Med Surg 2021; 11:2125-2137. [PMID: 33936993 DOI: 10.21037/qims-20-453] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background To evaluate functional connection density (FCD) in patients with diabetic optic neuropathy (DON) using the resting functional connectivity (FC) method, and to determine the abnormal areas of brain activity. Methods Patients with DON (n=22; 10 male, 12 female) and healthy controls (HCs; n=22; 10 male, 12 female) were included in the study. The basic characteristics of the groups were matched. Functional magnetic resonance imaging (fMRI) was conducted with participants at rest, and long- and short-range FCD (long FCD and IFCD, respectively) were measured. Receiver operating characteristic (ROC) curve analysis was also conducted to determine whether DON and HC participants could be distinguished using fMRI indicators. Results Compared with HCs, the long FCD values of the left lingual gyrus, right lingual gyrus, right fusiform gyrus, and medial and lateral cingulate gyri were decreased in patients with DON. Further, the IFCD values of the left superior temporal gyrus, left inferior temporal gyrus, right inferior temporal gyrus, left cerebellar area 8, and right cerebellar Crus2 area were higher in patients with DON than in the HCs. Conclusions DON is associated with abnormal spontaneous brain activity. Our findings contribute to elucidating the mechanisms underlying the neuropathology of DON, and provide direction for further clinical research.
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Affiliation(s)
- Si-Yi Chen
- Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Guo-Qian Cai
- Department of Radiology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Rong-Bin Liang
- Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qi-Cheng Yang
- The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - You-Lan Min
- Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qian-Min Ge
- Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Biao Li
- Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wen-Qing Shi
- Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qiu-Yu Li
- Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xian-Jun Zeng
- Department of Radiology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yi Shao
- Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang, China
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13
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Shao Y, Yang L, Zhu PW, Su T, Zhou XZ, Li B, Shi WQ, Lin Q, Min YL, Yuan Q, Ye L, Zhou Q. Functional connectivity density alterations in middle-age retinal detachment patients. Brain Behav 2021; 11:e01783. [PMID: 33645927 PMCID: PMC8035440 DOI: 10.1002/brb3.1783] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 07/02/2020] [Accepted: 07/19/2020] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE Middle-age patients with retinal detachment (RD) exhibit a loss of visual information, and previous studies of functional magnetic resonance imaging (fMRI) have demonstrated abnormal spontaneous activity in the RD brain. Therefore, this study assessed changes in local functional connectivity density (lFCD) and long-range functional connectivity density (longFCD) in middle-age RD patients during resting-state FC. METHODS In total, 32 middle-age patients with RD (18 men and 14 women), and 32 age-, sex-, and education-matched normal controls (NCs) (18 men and 14 women) were recruited and underwent functional magnetic resonance examination in the resting state. Two-sample t test was performed to compare lFCD and longFCD between groups. Receiver operating characteristic (ROC) curves were generated to distinguish middle-age RD patients from NCs. RESULTS Compared with NCs, middle-age RD patients demonstrated increased lFCD values in the right inferior temporal gyrus, and increased longFCD values in the bilateral inferior frontal gyri, left superior and middle frontal gyrus, bilateral inferior temporal gyri, and left cerebellum posterior lobe. Middle-age RD patient exhibited decreased lFCD values in the left cuneus, right lingual gyrus, and left middle frontal gyrus. They also had lower longFCD values in the left lingual gyrus and left inferior occipital gyrus. ROC curve analysis showed excellent accuracy of the specific areas under the curve. CONCLUSION Our results reveal that middle-age RD patients exhibited variations of binarized lFCD and longFCD in specific brain areas, which provides insight into the pathological mechanism of RD patients with acute visual loss.
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Affiliation(s)
- Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lin Yang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Pei-Wen Zhu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ting Su
- Eye Institute of Xiamen University, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Xiamen, Fujian Province, China
| | - Xue-Zhi Zhou
- Department of Ophthalmology, Xiangya Hospital, Central South University, Hunan Province, Changsha, China
| | - Biao Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wen-Qing Shi
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qi Lin
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - You-Lan Min
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qing Yuan
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lei Ye
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qiong Zhou
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
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14
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Tang X, Zhang Y, Liu D, Hu Y, Jiang L, Zhang J. Association of Gyrification Pattern, White Matter Changes, and Phenotypic Profile in Patients With Parkinson Disease. Neurology 2021; 96:e2387-e2394. [PMID: 33766988 DOI: 10.1212/wnl.0000000000011894] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 02/10/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the cortical gyrification changes as well as their relationships with white matter (WM) microstructural abnormalities in the akinetic-rigid (AR) and tremor-dominant (TD) subtypes of Parkinson disease (PD). METHODS Sixty-four patients with the AR subtype, 26 patients with the TD subtype, and 56 healthy controls (HCs) were included in this study. High-resolution T1-weighted and diffusion-weighted images were acquired for each participant. We computed local gyrification index (LGI) and fractional anisotropy (FA) to identify the cortical gyrification and WM microstructural changes in the AR and TD subtypes. RESULTS Compared with HCs, patients with the AR subtype showed decreased LGI in the precentral, postcentral, inferior and superior parietal, middle and superior frontal/temporal, anterior and posterior cingulate, orbitofrontal, supramarginal, precuneus, and some visual cortices, and decreased FA in the corticospinal tract, inferior and superior longitudinal fasciculus, inferior fronto-occipital fasciculus, forceps minor/major, and anterior thalamic radiation. Decreases in LGI and FA of the AR subtype were found to be tightly coupled. LGIs of the left inferior and middle frontal gyrus correlated with Mini-Mental State Examination and Hoehn & Yahr scores of patients with the AR subtype. Patients with the TD subtype showed no significant change in the LGI and FA compared with patients with the AR subtype and HCs. CONCLUSIONS Our results suggest that cortical gyrification changes in PD are motor phenotype-specific and are possibly mediated by the microstructural abnormalities of the underlying WM tracts.
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Affiliation(s)
- Xie Tang
- From the Key Laboratory for NeuroInformation of Ministry of Education (X.T., Y.Z.), School of Life Science and Technology, University of Electronic Science and Technology of China; and Department of Radiology (D.L., Y.H., L.J., J.Z.), Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, China
| | - Yuanchao Zhang
- From the Key Laboratory for NeuroInformation of Ministry of Education (X.T., Y.Z.), School of Life Science and Technology, University of Electronic Science and Technology of China; and Department of Radiology (D.L., Y.H., L.J., J.Z.), Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, China.
| | - Daihong Liu
- From the Key Laboratory for NeuroInformation of Ministry of Education (X.T., Y.Z.), School of Life Science and Technology, University of Electronic Science and Technology of China; and Department of Radiology (D.L., Y.H., L.J., J.Z.), Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, China
| | - Yixin Hu
- From the Key Laboratory for NeuroInformation of Ministry of Education (X.T., Y.Z.), School of Life Science and Technology, University of Electronic Science and Technology of China; and Department of Radiology (D.L., Y.H., L.J., J.Z.), Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, China
| | - Liling Jiang
- From the Key Laboratory for NeuroInformation of Ministry of Education (X.T., Y.Z.), School of Life Science and Technology, University of Electronic Science and Technology of China; and Department of Radiology (D.L., Y.H., L.J., J.Z.), Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, China
| | - Jiuquan Zhang
- From the Key Laboratory for NeuroInformation of Ministry of Education (X.T., Y.Z.), School of Life Science and Technology, University of Electronic Science and Technology of China; and Department of Radiology (D.L., Y.H., L.J., J.Z.), Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, China.
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15
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Boonstra JT, Michielse S, Temel Y, Hoogland G, Jahanshahi A. Neuroimaging Detectable Differences between Parkinson's Disease Motor Subtypes: A Systematic Review. Mov Disord Clin Pract 2021; 8:175-192. [PMID: 33553487 PMCID: PMC7853198 DOI: 10.1002/mdc3.13107] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 09/10/2020] [Accepted: 10/07/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The neuroanatomical substrates of Parkinson's disease (PD) with tremor-dominance (TD) and those with non-tremor dominance (nTD), postural instability and gait difficulty (PIGD), and akinetic-rigid (AR) are not fully differentiated. A better understanding of symptom specific pathoanatomical markers of PD subtypes may result in earlier diagnosis and more tailored treatment. Here, we aim to give an overview of the neuroimaging literature that compared PD motor subtypes. METHODS A systematic literature review on neuroimaging studies of PD subtypes was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Search terms submitted to the PubMed database included: "Parkinson's disease", "MRI" and "motor subtypes" (TD, nTD, PIGD, AR). The results are first discussed from macro to micro level of organization (i.e., (1) structural; (2) functional; and (3) molecular) and then by applied imaging methodology. FINDINGS Several neuroimaging methods including diffusion imaging and positron emission tomography (PET) distinguish specific PD motor subtypes well, although findings are mixed. Furthermore, our review demonstrates that nTD-PD patients have more severe neuroalterations compared to TD-PD patients. More specifically, nTD-PD patients have deficits within striato-thalamo-cortical (STC) circuitry and other thalamocortical projections related to cognitive and sensorimotor function, while TD-PD patients tend to have greater cerebello-thalamo-cortical (CTC) circuitry dysfunction. CONCLUSIONS Based on the literature, STC and CTC circuitry deficits seem to be the key features of PD and the subtypes. Future research should make greater use of multimodal neuroimaging and techniques that have higher sensitivity in delineating subcortical structures involved in motor diseases.
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Affiliation(s)
- Jackson Tyler Boonstra
- Department of Neurosurgery, School for Mental Health and Neuroscience (MHeNS)Maastricht University Medical CenterMaastrichtThe Netherlands
| | - Stijn Michielse
- Department of Neurosurgery, School for Mental Health and Neuroscience (MHeNS)Maastricht University Medical CenterMaastrichtThe Netherlands
| | - Yasin Temel
- Department of Neurosurgery, School for Mental Health and Neuroscience (MHeNS)Maastricht University Medical CenterMaastrichtThe Netherlands
| | - Govert Hoogland
- Department of Neurosurgery, School for Mental Health and Neuroscience (MHeNS)Maastricht University Medical CenterMaastrichtThe Netherlands
| | - Ali Jahanshahi
- Department of Neurosurgery, School for Mental Health and Neuroscience (MHeNS)Maastricht University Medical CenterMaastrichtThe Netherlands
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16
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Frequency-Specific Changes of Resting Brain Activity in Parkinson’s Disease: A Machine Learning Approach. Neuroscience 2020; 436:170-183. [DOI: 10.1016/j.neuroscience.2020.01.049] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 01/30/2020] [Accepted: 01/31/2020] [Indexed: 12/24/2022]
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17
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Bologna M, Paparella G, Fasano A, Hallett M, Berardelli A. Evolving concepts on bradykinesia. Brain 2020; 143:727-750. [PMID: 31834375 PMCID: PMC8205506 DOI: 10.1093/brain/awz344] [Citation(s) in RCA: 108] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/02/2019] [Accepted: 09/06/2019] [Indexed: 12/20/2022] Open
Abstract
Bradykinesia is one of the cardinal motor symptoms of Parkinson's disease and other parkinsonisms. The various clinical aspects related to bradykinesia and the pathophysiological mechanisms underlying bradykinesia are, however, still unclear. In this article, we review clinical and experimental studies on bradykinesia performed in patients with Parkinson's disease and atypical parkinsonism. We also review studies on animal experiments dealing with pathophysiological aspects of the parkinsonian state. In Parkinson's disease, bradykinesia is characterized by slowness, the reduced amplitude of movement, and sequence effect. These features are also present in atypical parkinsonisms, but the sequence effect is not common. Levodopa therapy improves bradykinesia, but treatment variably affects the bradykinesia features and does not significantly modify the sequence effect. Findings from animal and patients demonstrate the role of the basal ganglia and other interconnected structures, such as the primary motor cortex and cerebellum, as well as the contribution of abnormal sensorimotor processing. Bradykinesia should be interpreted as arising from network dysfunction. A better understanding of bradykinesia pathophysiology will serve as the new starting point for clinical and experimental purposes.
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Affiliation(s)
- Matteo Bologna
- Department of Human Neurosciences, Sapienza University of Rome, Italy
- IRCCS Neuromed, Pozzilli (IS), Italy
| | | | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA), Toronto, ON, Canada
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Italy
- IRCCS Neuromed, Pozzilli (IS), Italy
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18
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Xia G, Hu Z, Zhou F, Duan W, Wang M, Gong H, He Y, Guan Y. Functional Connectivity Density with Frequency-Dependent Changes in Patients with Diffuse Axonal Injury: A Resting-State Functional Magnetic Resonance Imaging Study. Neuropsychiatr Dis Treat 2020; 16:2733-2742. [PMID: 33209028 PMCID: PMC7669505 DOI: 10.2147/ndt.s267023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 10/19/2020] [Indexed: 01/09/2023] Open
Abstract
PURPOSE We explored changes in spontaneous brain connectivity in patients with diffuse axonal injury (DAI), assessed via functional connectivity density (FCD) tests using different frequency bands. PATIENTS AND METHODS In all, 23 patients with DAI (17 males and 6 females) and 23 healthy controls (HCs; 17 males and 6 females) were included. Functional magnetic resonance imaging scans were performed when the participants were in a resting state and the FCD levels in three frequency bands (slow-4: 0.027-0.073 Hz, slow-5: 0.01-0.027 Hz, and typical: 0.01-0.08 Hz) were measured. In addition, Pearson's correlation coefficient was used to explore the relationship between clinical indices and brain regions with abnormal FCD values. RESULTS Compared to HCs, DAI patients had significantly greater FCD values in the right extranuclear/limbic lobe/cingulate gyrus and left limbic lobe/hippocampus/parahippocampal gyrus, and significantly lower FCD values in the left precuneus/posterior cingulate gyrus, in the slow-4 band. In the slow-5 band, the DAI patients had higher FCD values in the left inferior temporal gyrus/superior temporal gyrus, left parahippocampal gyrus/limbic lobe, left extranuclear/cingulate gyrus, and right medial frontal gyrus, and lower values in the right inferior frontal gyrus, right inferior parietal lobule, and left cingulate gyrus/limbic lobe. Moreover, compared to HCs, the values in the typical band were higher in the right extranuclear/limbic lobe/hippocampus/parahippocampal gyrus, but were significantly lower in the right precuneus/posterior cingulate gyrus and right inferior parietal lobule/supramarginal gyrus. The abnormal FCD values of these brain regions were linearly correlated with different clinical scale scores. CONCLUSION DAI patients had abnormal FCD values in various brain regions, indicating disruption to the brain functional network. Moreover, the values were frequency dependent. Our results provide new evidence for the pathogenesis of functional impairment and may explain the neuropathological or compensatory mechanism of the disease.
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Affiliation(s)
- Guojin Xia
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Zhenzhen Hu
- Department of Thoracic Oncology, Jiangxi Cancer Hospital, Jiangxi, People's Republic of China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Wenfeng Duan
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Min Wang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Honghan Gong
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Yulin He
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Yanxing Guan
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China
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19
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Li Z, Chen J, Lin Y, Zhou M, Cai Q, Li X, Wu Z, Chen X, Yang X, Zhu X, Lu J, Zhang L, Liu B, Luo X, Xu P. Reduced regional activity and functional connectivity within sensorimotor network in Parkinson's patients with restless legs syndrome. Mol Pain 2019; 15:1744806919882272. [PMID: 31554460 DOI: 10.1177/1744806919882272] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Affiliation(s)
- Zhe Li
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jun Chen
- Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuwan Lin
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Miaomiao Zhou
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiaodi Cai
- Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xinchun Li
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhuohua Wu
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinjie Chen
- Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xinling Yang
- Department of Neurology, The Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xiaoqin Zhu
- Department of Physiology, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China
| | - Jianjun Lu
- Department of Neurosurgery, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Li Zhang
- Department of Geriatrics, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Bo Liu
- Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaodong Luo
- Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Pingyi Xu
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Department of Physiology, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China
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20
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The Dual-Tasking Overload on Functional Mobility Is Related to Specific Cognitive Domains in Different Subtypes of Parkinson's Disease. TOPICS IN GERIATRIC REHABILITATION 2019. [DOI: 10.1097/tgr.0000000000000220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Li H, Cao W, Zhang X, Sun B, Jiang S, Li J, Liu C, Yin W, Wu Y, Liu T, Yao D, Luo C. BOLD-fMRI reveals the association between renal oxygenation and functional connectivity in the aging brain. Neuroimage 2019; 186:510-517. [DOI: 10.1016/j.neuroimage.2018.11.030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 01/23/2023] Open
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Zhu F, Tang L, Zhu P, Lin Q, Yuan Q, Shi W, Li B, Ye L, Min Y, Su T, Shao Y. Resting-state functional magnetic resonance imaging (fMRI) and functional connectivity density mapping in patients with corneal ulcer. Neuropsychiatr Dis Treat 2019; 15:1833-1844. [PMID: 31308676 PMCID: PMC6617566 DOI: 10.2147/ndt.s210658] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Accepted: 06/10/2019] [Indexed: 12/13/2022] Open
Abstract
PURPOSE To investigate alternations in spontaneous brain activities reflected by functional connectivity density (FCD) in patients with corneal ulcer (CU) using resting-state functional connectivity (rsFC). METHODS We recruited 24 patients with CU (12 males, 12 females), and 24 healthy controls (HCs; 12 males, 12 females) matched for age, gender and education status. Functional magnetic resonance imaging examinations were performed on all subjects in a resting state and the following parameters determined: rsFC, long-range FCD (longFCD) and short-range FCD (IFCD). Receiver operating characteristic (ROC) curves were then used to differentiate patients with CU from HCs. RESULTS Compared with HCs, CU patients showed significantly reduced rsFC values in the right cerebellum posterior lobe gyrus, right middle frontal gyrus/inferior frontal gyrus/superior frontal gyrus and left inferior parietal lobule/precuneus. Significantly reduced longFCD values were found in the right hippocampus/inferior temporal gyrus and the left inferior temporal gyrus. Moreover, compared with HCs, IFCD values were significantly reduced in the left inferior temporal gyrus/middle temporal gyrus, left limbic lobe/medial frontal gyrus, and left precuneus/limbic lobe, but were significantly increased in the right insula/superior temporal gyrus, left superior temporal gyrus/inferior frontal gyrus/insula, right superior temporal gyrus/postcentral gyrus, and left precentral gyrus. CONCLUSIONS Patients with CU exhibited alterations in spontaneous brain activities in several brain areas. These novel findings may help to reveal the neuropathological mechanisms underlying CU. UNLABELLED This study provides a direction for further exploration of underlying neural mechanisms of CU and facilitate the clinical diagnosis and treatment of CU.
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Affiliation(s)
- Feiyin Zhu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China.,Department of Clinical Medicine, Queen Mary College of Nanchang University, Nanchang, Jiangxi 330031, People's Republic of China
| | - Liying Tang
- Department of Ophthalmology, Xiang'an Hospital of Xiamen University, Xiamen, Fujian 361102, People's Republic of China.,Fujian Provincial Key Laboratory of Ophthalmology and Visual Science , Xiamen, Fujian 361102, People's Republic of China.,Eye Institute of Xiamen University , Xiamen, Fujian 361102, People's Republic of China.,School of Medicine, Xiamen University , Xiamen, Fujian 361102, People's Republic of China
| | - Peiwen Zhu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China
| | - Qi Lin
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China
| | - Qing Yuan
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China
| | - Wenqing Shi
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China
| | - Biao Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China
| | - Lei Ye
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China
| | - Youlan Min
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China
| | - Ting Su
- Department of Ophthalmology, Xiang'an Hospital of Xiamen University, Xiamen, Fujian 361102, People's Republic of China.,Fujian Provincial Key Laboratory of Ophthalmology and Visual Science , Xiamen, Fujian 361102, People's Republic of China.,Eye Institute of Xiamen University , Xiamen, Fujian 361102, People's Republic of China.,School of Medicine, Xiamen University , Xiamen, Fujian 361102, People's Republic of China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, Jiangxi 330006, People's Republic of China
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Spay C, Meyer G, Welter ML, Lau B, Boulinguez P, Ballanger B. Functional imaging correlates of akinesia in Parkinson's disease: Still open issues. NEUROIMAGE-CLINICAL 2018; 21:101644. [PMID: 30584015 PMCID: PMC6412010 DOI: 10.1016/j.nicl.2018.101644] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 12/13/2018] [Accepted: 12/15/2018] [Indexed: 11/19/2022]
Abstract
Akinesia is a major manifestation of Parkinson's disease (PD) related to difficulties or failures of willed movement to occur. Akinesia is still poorly understood and is not fully alleviated by standard therapeutic strategies. One reason is that the area of the clinical concept has blurred boundaries referring to confounded motor symptoms. Here, we review neuroimaging studies which, by providing access to finer-grained mechanisms, have the potential to reveal the dysfunctional brain processes that account for akinesia. It comes out that no clear common denominator could be identified across studies that are too heterogeneous with respect to the clinical/theoretical concepts and methods used. Results reveal, however, that various abnormalities within but also outside the motor and dopaminergic pathways might be associated with akinesia in PD patients. Notably, numerous yet poorly reproducible neural correlates were found in different brain regions supporting executive control by means of resting-state or task-based studies. This includes for instance the dorsolateral prefrontal cortex, the inferior frontal cortex, the supplementary motor area, the medial prefrontal cortex, the anterior cingulate cortex or the precuneus. This observation raises the issue of the multidimensional nature of akinesia. Yet, other open issues should be considered conjointly to drive future investigations. Above all, a unified terminology is needed to allow appropriate association of behavioral symptoms with brain mechanisms across studies. We adhere to a use of the term akinesia restricted to dysfunctions of movement initiation, ranging from delayed response to freezing or even total abolition of movement. We also call for targeting more specific neural mechanisms of movement preparation and action triggering with more sophisticated behavioral designs/event-related neurofunctional analyses. More work is needed to provide reliable evidence, but answering these still open issues might open up new prospects, beyond dopaminergic therapy, for managing this disabling symptom. No clear picture of the neural bases of PD akinesia can be drawn from the literature. Akinesia should be disentangled from bradykinesia and hypokinesia. Movement initiation dysfunctions may arise from both motor and executive disorders. Future neuroimaging studies should probe more specific neurocognitive processes. Future studies should look beyond the dopaminergic basal-ganglia circuitry.
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Affiliation(s)
- Charlotte Spay
- Université de Lyon, Université Claude Bernard Lyon 1, Lyon Neuroscience Resaerch Center, INSERM, U 1028, CNRS, UMR 5292, Action Control and Related Disorders team, F-69000, Lyon, France
| | - Garance Meyer
- Université de Lyon, Université Claude Bernard Lyon 1, Lyon Neuroscience Resaerch Center, INSERM, U 1028, CNRS, UMR 5292, Action Control and Related Disorders team, F-69000, Lyon, France
| | - Marie-Laure Welter
- Neurophysiology Department, CIC-CRB 1404, Rouen University Hospital, University of Rouen, F-76000 Rouen, France
| | - Brian Lau
- Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle Epinière, F-75013 Paris, France
| | - Philippe Boulinguez
- Université de Lyon, Université Claude Bernard Lyon 1, Lyon Neuroscience Resaerch Center, INSERM, U 1028, CNRS, UMR 5292, Action Control and Related Disorders team, F-69000, Lyon, France
| | - Bénédicte Ballanger
- Université de Lyon, Université Claude Bernard Lyon 1, Lyon Neuroscience Research Center, INSERM, U 1028, CNRS, UMR 5292, Neuroplasticity and Neuropathology of Olfactory Perception team, F-69000, Lyon, France.
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